Jun‐Ki Min

1.7k citations
86 papers · 999 indexed · h-index 16
Topics
Data Management and Algorithms (21 papers)Advanced Database Systems and Queries (18 papers)Energy Efficient Wireless Sensor Networks (9 papers)

In The Last Decade

Jun‐Ki Min

78 papers receiving 926 citations

Peers

Jun‐Ki Min
Comparison fields: 5 of 101
  • Computer Networks and Communications 453
  • Signal Processing 405
  • Artificial Intelligence 341
  • Information Systems 179
  • Computer Vision and Pattern Recognition 168
Replace Sarana Nutanong with:
Sarana Nutanong Thailand
Feng Zhu United States
Giuseppe Sansonetti Italy
Martijn van Otterlo Netherlands
Vinayak Naik India
Sherzod Turaev Malaysia
Suhas Mathur United States
Martin Azizyan United States
Antonio A. F. Loureiro Brazil
Jun‐Ki Min relative to Sarana Nutanong Thailand Sarana Nutanong's profile →
Citations per field
00.5×3.5×
Sarana Nutanong · 1×
Citations per year

Countries citing papers authored by Jun‐Ki Min

Since Specialization
Citations

This map shows the geographic impact of Jun‐Ki Min's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jun‐Ki Min with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun‐Ki Min more than expected).

Fields of papers citing papers by Jun‐Ki Min

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun‐Ki Min. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jun‐Ki Min. The network helps show where Jun‐Ki Min may publish in the future.

Co-authorship network of co-authors of Jun‐Ki Min

This figure shows the co-authorship network connecting the top 25 collaborators of Jun‐Ki Min. A scholar is included among the top collaborators of Jun‐Ki Min based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jun‐Ki Min. Jun‐Ki Min is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 1
3 5
4 3
5 11
6 2
7 2
8 1
9 2
10
An Efficient Outlier Detection Algorithms based on Data Clustering over Massive Data
1
11 1
12 0
13 2
14 53
15 18
16 1
17 5
18 7
19 5
20 1

About Jun‐Ki Min

Jun‐Ki Min is a scholar working on Signal Processing, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 86 papers that have together received 999 indexed citations. Recurring topics across this work include Data Management and Algorithms (21 papers), Advanced Database Systems and Queries (18 papers) and Energy Efficient Wireless Sensor Networks (9 papers). The work is most often cited by research in Signal Processing (405 citations), Computer Networks and Communications (453 citations) and Artificial Intelligence (341 citations). Jun‐Ki Min has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Chin‐Wan Chung, Kyuseok Shim, Sung‐Bae Cho, Jin-Hyuk Hong, Jason Wiese, Jason Hong, John Zimmerman, Ji–Hyun Lee, Rao Tummala and P. Markondeya Raj. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Pattern Recognition.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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